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  1. Last 7 days
    1. In an Open Science context,  “infrastructure” -- the "structures and facilities" -- refers to the scholarly communication resources and services, including software, that we depend upon to enable the scientific and scholarly community to collect, store, organise, access, share, and assess research.
    1. Modern science is, to a large extent, a model-building activity. In the natural and engineering sciences as well as in the social sciences, models are constructed, tested and revised, they are compared with other models, applied, interpreted and sometimes rejected or replaced by a better model.
    1. Weaver distinguishes ‘three levels of communication problems’, beginning with the technical problem (A), which is concerned with the f idelity of symbol transmission and thus the level where Shannon’s mathematical def inition and measure of information are situated. But Weaver then also postulates a semantic problem (B) that refers to the transmission of meaning and an ef fectiveness problem (C) that asks

      Three levels of communication problems: technical problem, semantic problem, and effectiveness problem. (Shannon and Weaver. 1964. A Mathematical Theory of Communication)

    1. Creating video tutorials has been hard when things are so in flux. We've been reluctant to invest time - and especially volunteer time - in producing videos while our hybrid content and delivery strategy is still changing and developing. The past two years have been a time of experimentation and iteration. We're still prototyping!

      Have you thought about opening the project setting and the remixing to educators or even kids? That could create additional momentum.

      A few related resources you might want to check out for inspiration: Science Buddies, Seesaw, Exploratorium

  2. Nov 2022
    1. Dr. Miho Ohsaki re-examined workshe and her group had previously published and confirmed that the results are indeed meaningless in the sensedescribed in this work (Ohsaki et al., 2002). She has subsequently been able to redefine the clustering subroutine inher work to allow more meaningful pattern discovery (Ohsaki et al., 2003)

      Look into what Dr. Miho Ohsaki changed about the clustering subroutine in her work and how it allowed for "more meaningful pattern discovery"

    2. Eamonn Keogh is an assistant professor of Computer Science at the University ofCalifornia, Riverside. His research interests are in Data Mining, Machine Learning andInformation Retrieval. Several of his papers have won best paper awards, includingpapers at SIGKDD and SIGMOD. Dr. Keogh is the recipient of a 5-year NSF CareerAward for “Efficient Discovery of Previously Unknown Patterns and Relationships inMassive Time Series Databases”.

      Look into Eamonn Keogh's papers that won "best paper awards"

    1. “In order to talk to each other, we have to have words, and that’s all right. It’s a good idea to try to see the difference, and it’s a good idea to know when we are teaching the tools of science, such as words, and when we are teaching science itself,” Feynman said.

      Maths, Logic, Computer Science, Chess, Music, and Dance

      A similar observation could be made about mathematics, logic, and computer science. Sadly, public education in the states seems to lose sight that the formalisms in these domains are merely the tools of the trade and not the trade itself (ie, developing an understanding of the fundamental/foundational notions, their relationships, their instantiations, and cultivating how one can develop capacity to "move" in that space).

      Similarly, it's as if we encourage children that they need to merely memorize all the movements of chess pieces to appreciate the depth of the game.

      Or saying "Here, just memorize these disconnected contortions of the hand upon these strings along this piece of wood. Once you have that down, you've experienced all that guitar, (nay, music itself!) has to offer."

      Or "Yes, once, you internalize the words for these moves and recite them verbatim, you will have experienced all the depth and wonder that dance and movement have to offer."

      However, none of these examples are given so as to dismiss or ignore the necessity of (at least some level of) formalistic fluency within each of these domains of experience. Rather, their purpose is to highlight the parallels in other domains that may seem (at first) so disconnected from one's own experience, so far from one's fundamental way of feeling the world, that the only plausible reasons one can make to explain why people would waste their time engaging in such acts are 1. folly: they merely do not yet know their activities are absurd, but surely enough time will disabuse them of their foolish ways. 2. madness: they cannot ever know the absurdity of their acts, for "the absurd" and "the astute" are but two names for one and the same thing in their world of chaos. 3. apathy: they in fact do see the absurdity in their continuing of activities which give them no sense of meaning, yet their indifference insurmountably impedes them from changing their course of action. For how could one resist the path of least resistance, a road born of habit, when one must expend energy to do so but that energy can only come from one who cares?

      Or at least, these 3 reasons can surely seem like that's all there possibly could be to warrant someone continuing music, chess, dance, maths, logic, computer science, or any apparently alien craft. However, if one takes time to speak to someone who earnestly pursues such "alien crafts", then one may start to perceive intimations of something beyond their current impressions

      The contorted clutching of the strings now seems... coordinated. The pensive placement of the pawns now appears... purposeful. The frantic flailing of one's feet now feels... freeing. The movements of one's mind now feels... marvelous.

      So the very activity that once seemed so clearly absurd, becomes cognition and shapes perspectives beyond words

    1. Of course, despite what the "data is the new oil" vendors told you back in the day, you can’t just chuck raw data in and assume that magic will happen on it, but that’s a rant for another day ;-)

      Love this analogy - imagine chucking some crude into a black box and hoping for ethanol at the other end. Then, when you end up with diesel you have no idea what happened.

    2. Working with the raw data has lots of benefits, since at the point of ingest you don’t know all of the possible uses for the data. If you rationalise that data down to just the set of fields and/or aggregate it up to fit just a specific use case then you lose the fidelity of the data that could be useful elsewhere. This is one of the premises and benefits of a data lake done well.

      absolutely right - there's also a data provenance angle here - it is useful to be able to point to a data point that is 5 or 6 transformations from the raw input and be able to say "yes I know exactly where this came from, here are all the steps that came before"

    1. okay so remind you what is a sheath so a sheep is something that allows me to 00:05:37 translate between physical sources or physical realms of data and physical regions so these are various 00:05:49 open sets or translation between them by taking a look at restrictions overlaps 00:06:02 and then inferring

      Fixed typos in transcript:

      Just generally speaking, what can I do with this sheaf-theoretic data structure that I've got? Okay, [I'll] remind you what is a sheaf. A sheaf is something that allows me to translate between physical sources or physical realms of data [in the left diagram] and the data that are associated with those physical regions [in the right diagram]

      So these [on the left] are various open sets [an example being] simplices in a [simplicial complex which is an example of a] topological space.

      And these [on the right] are the data spaces and I'm able to make some translation between [the left and the right diagrams] by taking a look at restrictions of overlaps [a on the left] and inferring back to the union.

      So that's what a sheaf is [regarding data structures]. It's something that allows me to make an inference, an inferential machine.

    1. What does 'passing an argument' mean in programming?You have a grinder that will grind anything that you pass on to her. You give her Rice. She grind it. You give her wheat. She grind it. You give her a Justin Bieber song CD. She grind it. She grinds every thing that you hand over to her. In programming, we create function that does the stuff we need. Say add, subtract, multiply or print the stuff that you pass on to it. Then we pass on stuff upon which the function will operate and return us the results. This process of passing the 'stuff' to be processed is referred to as passing an 'argument' in programming. Thank You.
    1. An argument is a way for you to provide more information to a function. The function can then use that information as it runs, like a variable. Said differently, when you create a function, you can pass in data in the form of an argument, also called a parameter.

      argument and parameter

    1. Science and journalism are not alien cultures, for all that they can sometimes seem that way. They are built on the same foundation — the belief that conclusions require evidence; that the evidence should be open to everyone; and that everything is subject to question. Both groups are comprised of professional sceptics. And whether it's directed towards an experiment or a breaking news story, each can appreciate the other's critical eye.
    1. CEO, Mike Tung was on Data science podcast. Seems to be solving problem that Google search doesn't; how seriously should you take the results that come up? What confidence do you have in their truth or falsity?

  3. Oct 2022
    1. Thus Paxson was not content to limit historians to the immediateand the ascertainable. Historical truth must appear through some-thing short of scientific method, and in something other than scien-tific form, linked and geared to the unassimilable mass of facts.There was no standard technique suited to all persons and purposes,in note-taking or in composition. "The ordinary methods of his-torical narrative are ineffective before a theme that is in its essen-tials descriptive," he wrote of Archer B. Hulbert's Forty- Niners(1931) in 1932. "In some respects the story of the trails can notbe told until it is thrown into the form of epic poetry, or comes un-der the hand of the historical novelist." 42

      This statement makes it appear as if Paxson was aware of the movement in the late 1800s of the attempt to make history a more scientific endeavor by writers like Bernheim, Langlois/Seignobos, and others, but that Pomeroy is less so.

      How scientific can history be as an area of study? There is the descriptive from which we might draw conclusions, but how much can we know when there are not only so many potential variables, but we generally lack the ability to design and run discrete experiments on history itself?

      Recall Paxson's earlier comment that "in history you cannot prove an inference". https://hypothes.is/a/LIWSoFlLEe2zUtvMoEr0nQ

      Had enough time elapsed up to this writing in 1953, that the ideal of a scientific history from the late 1800s had been borne out not to be accomplished?

    1. Forbidden Fruits: The Political Economy of Science, Religion, and GrowthRoland Bénabou, Davide Ticchi, and Andrea VindigniNBER Working Paper No. 21105
    1. Helbig, Daniela K. “Life without Toothache: Hans Blumenberg’s Zettelkasten and History of Science as Theoretical Attitude.” Journal of the History of Ideas 80, no. 1 (2019): 91–112. https://doi.org/10.1353/jhi.2019.0005

    2. A historical perspective on the sciencesbrings into view controversies, and some beliefs and methodological con-victions that retrospectively turn out to be false—among Blumenberg’scharacteristically colorful picks are Augustine writing that “the stars werecreated for the consolation of people obliged to be active at night,” and“Linnaeus’s opinion that the song of the birds at the first light of morningwas instituted as consolation for the insomnia of the old.”84

      something poetic about these examples even if they're poor science...

    3. In “collaboration with his Zettelkasten,”61 Blumenberg worked to por-tray these tensions between different and changing historical meanings ofscientific inquiry.
    1. Manne Gerell, docent i kriminologi vid Malmö universitet, forskar bland annat kring gängvåld och utsatta områden och även kring polisens brottsförebyggande arbete.– Visitationszoner har införts i till exempel Danmark och England, men forskningen kring det visar att de inte gett någon större effekt på gängbrottsligheten. Inte heller har nämnvärt fler beslag av vapen och droger gjorts jämfört med tidigare, säger han.
    1. e called on his fellow rabbis to submitnotecards with details from their readings. He proposed that a central office gathermaterial into a ‘system’ of information about Jewish history, and he suggested theypublish the notes in the CCAR’s Yearbook.

      This sounds similar to the variety of calls to do collaborative card indexes for scientific efforts, particularly those found in the fall of 1899 in the journal Science.

      This is also very similar to Mortimer J. Adler et al's group collaboration to produce The Syntopicon as well as his work on Propædia and Encyclopædia Britannica.

      link to: https://hypothes.is/a/nvWZnuApEeuKR--5AeBv8w

    1. Cognitive-science research shows that people improve learning efficiency by practicing the set of specific cognitive tasks required for their area of expertise.11. K. A. Ericsson, R. T. Krampe, C. Tesch-Römer, Psych. Rev. 100, 363 (1993); https://doi.org/10.1037/0033-295X.100.3.363A. Ericsson, R. Pool, Peak: Secrets from the New Science of Expertise, HarperOne (2017). Although that approach is based on learning research, it is uncoincidentally quite similar to the ideal master–apprentice method for traditionally teaching a craft (see figure 1).

      The master-apprentice model of teaching and learning in which the master breaks down a problem into a set of subskills which the apprentice solves and practices with regular feedback for improvement is broadly similar to best pathways shown in cognitive science research on improving learning efficiency for building expertise.


    1. All these types have a right to do as theyplease or as they must; they have no right to impose in then a m e of science such narrow limits on others.



  4. Sep 2022
    1. In 1990, 15.1 percent of the poor were residingin high- poverty neighborhoods. That figure dropped to 10.3 percent by 2000,rose to 13.6 percent for 2010, and then fell to 11.9 percent for 2015.

      Is there a long term correlation between these rates and political parties? Is there a potential lag time between the two if there is?

    1. Science has provided the swiftest communicationbetween individuals; it has provided a record of ideas andhas enabled man to manipulate and to make extracts fromthat record so that knowledge evolves and endures through-out the life of a race rather than that of an individual

      I believe especially the evolution of technology and new devices made this transition and provision of "the swiftest communication between individuals" possible. For the advancement of knowledge, the sharing and transferring of knowledge is the most important, so this transition was extremely important.

    1. wissenschaft

      roughly translated as the systematic pursuit of knowledge, learning, and scholarship (especially in contrast with application).

      It was roughly similar to our current "science" but retains a broader meaning which includes the humanities.


    1. which is why we model the future as something we can influence.

      Yeah, but those who would model the future for the sake of influencing it are driven to do so because they have no free well. And similarly, there are people who will patently refuse to pursue such an approach because they are driven to it by their lack of free will.

    2. Given our lack of complete microscopic information, the question we should be asking is, "does the best theory of human beings include an element of free choice?"

      This is a good question. And we don't need to be able to predict the future to answer it.

    3. The problem with this is that it mixes levels of description. If we know the exact quantum state of all of our atoms and forces, in principle Laplace's Demon can predict our future. But we don't know that, and we never will, and therefore who cares? What we are trying to do is to construct an effective understanding of human beings, not of electrons and nuclei.

      This is a non-sequitur. Being able to predict the future is irrelevant. What matters is that whatever we do will be "determined" by the laws of physics and the state of the system at the moment of a decision.

    4. The consequence argument points out that deterministic laws imply that the future isn't really up for grabs; it's determined by the present state just as surely as the past is. So we don't really have choices about anything.

      Yup, that makes sense to me. I'm fine with that too.

      Still, however, everyone is ignoring the influence of learning on our future state.

    5. while we can still influence later times

      But can we? If there's no libertarian free will, then we cannot influence the future because we cannot choose to do differently than we will have done.

    6. Of course, just because it can be compatible with the laws of nature, doesn't mean that the concept of free will actually is the best way to talk about emergent human behaviors.

      And that's the crux of the matter. Knowing that free will is only constructed, we can decide it would be best to not base certain decisions on its existence. For instance, how we deal with crime and punishment.

      Of course, if there's no free will, then there are some people who will never accept it's non-existence.

    7. The concept of baseball is emergent rather than fundamental, but it's no less real for all of that. Likewise for free will. We can be perfectly orthodox materialists and yet believe in free will, if what we mean by that is that there is a level of description that is useful in certain contexts and that includes "autonomous agents with free will" as crucial ingredients.

      Again, the problem here is that we can define and characterize baseball such that we can unequivocally say that a given entity either is or is not "baseball".

      But we cannot do that for free will - because we cannot measure it.

      Carroll is also being quite utilitarian, which is fine. My idea is that considering the utility of a concept only matters for emergent properties because they are constructed and not fundamental. The fundamentals have no utility; they just are.

    8. When we talk about air in a room, we can describe it by listing the properties of each and every molecule, or we speak in coarse-grained terms about things like temperature and pressure. One description is more "fundamental," in that its regime of validity is wider; but both have a regime of validity, and as long as we are in that regime, the relevant concepts have a perfectly good claim to "existing."

      Another way of saying this is that temperature and pressure are emergent properties of the more fundamental properties of the molecules of air.

      The problem with applying this to free will, though, is that unlike temperature, we have no way to measure free will. If we can't measure it, I am quite comfortable in denying this analogy.

    9. But in either event, they believe that our freedom of choice cannot be reduced to our constituent particles evolving according to the laws of physics.

      But why would they believe something so silly?

    10. There are people who do believe in free will in this sense; that we need to invoke a notion of free will as an essential ingredient in reality, over and above the conventional laws of nature. These are libertarians, in the metaphysical sense rather than the political-philosophy sense.

      A good way to characterize free will from a purely scientific point of view.

    11. When people make use of a concept and simultaneously deny its existence, what they typically mean is that the concept in question is nowhere to be found in some "fundamental" description of reality.

      Yes! This is very important. Recognizing that "race" is constructed rather than fundamental is the first step to recognizing the race is irrelevant, and that it can be jettisoned from our reasoning. Similarly, once we can see that "free will" is constructed and not fundamental, we can get past its philosophical shackles.

    12. Likewise, people who question the existence of free will don't have any trouble making choices.

      And there's the problem: do we really make choices? Or are we just unaware of the deterministic algorithm making the choice for us?

    13. It's possible to deny the existence of something while using it all the time. Julian Barbour doesn't believe time is real, but he is perfectly capable of showing up to a meeting on time.

      This is the difference between a social construct and a distinct physical phenomenon. In this regard, “time” is like “race”.

    1. Anecdotally, we hear stories of university and research bureaux deliberately adding researchers in North America or Asia to consortia because those researchers will be able to do basic text and data mining so much more easily than in the EU.

      contentmining (github.com/contentmining) is restricted in the EU so universiteies outsource this to asian countries...

  5. Aug 2022
    1. The Hypothesis Project is a 501(c)(3) with a mission to enable a conversation layer over the world’s knowledge. We envision a universal capability, native to browsers and other applications, allowing notetaking, collaboration, conversation and community over all forms of content– all without needing implementation by
    1. Krause, P. R., Fleming, T. R., Peto, R., Longini, I. M., Figueroa, J. P., Sterne, J. A. C., Cravioto, A., Rees, H., Higgins, J. P. T., Boutron, I., Pan, H., Gruber, M. F., Arora, N., Kazi, F., Gaspar, R., Swaminathan, S., Ryan, M. J., & Henao-Restrepo, A.-M. (2021). Considerations in boosting COVID-19 vaccine immune responses. The Lancet, 4. https://doi.org/10.1016/S0140-6736(21)02046-8

    1. While the admin-istrative scientist Luhmann ignores the librarian’s dictum in his consideration of theproper paper for the project out of spatial concerns, DIN 1504, which, apart from theInternational Library Format, only allows DIN A 6 and DIN A 7 for “literature cards,”18regrettably goes unused.

      Despite his career as an administrative scientist, Luhmann eschewed the International Library Format which allows for DIN A6 and DIN A7 for "literature cards."

      Cross reference:

      1. See Deutsches Institut für Normung e.V. (DIN), Publikation und Dokumentation 2. Erschließung von Dokumenten, Informationsverarbeitung, Reprographie, Bibliotheksverwaltung, Normen, vol. 154 of DIN-Taschenbuch , 2nd ed. (Berlin, Kö ln: Beuth, 1984), 64f.

      link to https://hypothes.is/a/hKgd_t1jEeyxoxOujPZNkg

    1. "PDF is where documents go to die. Once something is in PDF, it's like a roach motel for data."

      —Chris Pratley, Microsoft Office's general manager (in TechRadar, 2012)

      obvious bias here on part of Pratley...

      Oddly, even if this were true, I'm not seeing patterns in the wild by which Microsoft products are helping to dramatically accelerate the distribution and easy ability to re-use data within documents. Perhaps its happening within companies or organizations to some extent, but it's not happening within the broader commons of the internet.

      If .pdfs are where information goes to die, then perhaps tools like Hypothes.is are meant to help resurrect that information?

    1. Whitehead once described the mentality of modern science as having beenforged through “the union of passionate interest in the detailed facts with equaldevotion to abstract generalization.”
    2. seventeenth century, “the century ofgenius,”
    1. History and Foundations of Information Science

      This series of books focuses on the historical approach or theoretical approach to information science and seeks a broader interpretation of what we consider as information (i.e., information is in the eye of the beholder, be it sets of data, scholarly publications, works of art, material objects, or DNA samples), and an emphasis upon how people access and interact with this information.


    1. Neurath claimed that magic was unfalsifiable and therefore disenchantment could never be complete in a scientific age.[18]
      1. Josephson-Storm, Jason (2017). The Myth of Disenchantment: Magic, Modernity, and the Birth of the Human Sciences. Chicago: University of Chicago Press. p. 227. ISBN 978-0-226-40336-6.
    1. OCLC began automated catalog card production in 1971, when the shared cataloging system first went online. Cardproduction increased to its peak in 1985, when OCLC printed 131 million. At peak production, OCLC routinelyshipped 8 tons of cards each week, or some 4,000 packages. Card production steadily decreased since then asmore and more libraries began replacing their printed cards with electronic catalogs. OCLC has printed more than1.9 billion catalog cards since 1971.
    2. DUBLIN, Ohio, October 1, 2015 —OCLC printed its last library catalog cards today, officially closing the book onwhat was once a familiar resource for generations of information seekers who now use computer catalogs andonline search engines to access library collections around the world.
    1. thus paved the way for the realisation that the Earth system is a real object comprising ‘physical, chemical, biological and human components’ and seen as ‘a related set of interacting processes operating on a wide range of spatial and temporal scales, rather than as a collection of individual components’

      Diese Definition liegt auch dem Erdsystemwissenschaften-Konzept der Leopoldina zugrunde.

    1. Australian Institute of Marine Science’s annual long-term monitoring report says the fast-growing corals that have driven coral cover upwards are also those most at risk from marine heatwaves, storms and the voracious crown-of-thorns (COTS) starfish

      Gehört auch zum Thema Hitzewellen